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24 часа назад

Engineering Manager (Data Platform)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
France/UK/Poland +5 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Engineering Manager (Data Platform): Leading a multidisciplinary data engineering team to build and scale a platform processing billions of payment events across 80+ countries with an accent on high-throughput data systems and AI-first engineering culture. Focus on designing scalable data pipelines, mentoring engineers, and bridging the gap between data consumers and infrastructure.

Location: Remote (Work from anywhere)

Company

hirify.global builds payment infrastructure enabling companies to connect to 300+ payment methods worldwide via a single API.

What you will do

  • Lead and develop a multidisciplinary data engineering team, fostering a culture of technical excellence and ownership.
  • Own the full data lifecycle, including ingestion, transformation, storage, serving, and observability.
  • Drive technical contributions through architecture design, code reviews, and complex troubleshooting.
  • Champion an AI-first engineering culture by implementing LLM-powered workflows and automated testing.
  • Collaborate with Product, Analytics, ML, and Finance teams to deliver against a fast-moving roadmap.
  • Translate business priorities into engineering goals, managing trade-offs between speed and technical debt.

Requirements

  • Proven experience managing and growing data or software engineering teams, including hiring and coaching.
  • Hands-on background in designing data pipelines, data models, and platform architecture at scale.
  • Proficiency in Python and SQL, with comfort navigating modern data stacks.
  • Deep understanding of streaming and batch processing (Kafka, Spark, Flink, Airflow, or equivalent).
  • Experience with cloud infrastructure (AWS, GCP, or Azure) and tools like dbt.
  • Professional proficiency in English (written and spoken).

Nice to have

  • Experience in the payments or fintech industry.
  • Familiarity with real-time analytics and event-driven architectures.
  • Exposure to ML platform design or feature store infrastructure.
  • Knowledge of DevOps practices applied to data, such as CI/CD for pipelines and infrastructure as code.

Culture & Benefits

  • Full remote work flexibility — work from anywhere in the world.
  • Competitive compensation and stock options.
  • One-time home office bonus and provided work equipment.
  • Global health plan regardless of your location.
  • Flexible days off and budget for language, professional, and personal growth courses.

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